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Agent37 Cloud Platform for AI Agents

Agent37 offers persistent, isolated cloud sandboxes for hosting AI agents with granular cost control.

Dynamic Business2 min

1Platform Overview and Purpose

Agent37 provides a specialized cloud environment for hosting AI agents in isolated, persistent sandboxes. By offering dedicated compute instances with full lifecycle control, the platform allows business users to deploy agents without requiring deep DevOps expertise. It effectively offloads infrastructure complexity while supporting custom model integrations and persistent file system storage.

2Persistent Sandbox Architecture

Each agent operates within its own container or virtual machine, ensuring memory and file systems remain preserved across restarts. The platform supports auto-sleep and manual stop features to optimize compute costs. Crucially, disk storage remains persistent even when instances are in a sleeping state, allowing for reliable, long-term agent data retention.

3Flexible Model Integration Options

Users can connect their own model API keys or utilize managed integrations with providers like OpenAI, Anthropic, Grok, and Claude Code. This flexibility enables businesses to select AI models that align with their specific performance, privacy, and cost policies. The platform currently supports over 200 distinct AI models for side-by-side experimentation.

4Granular Control and Access

Agent37 instances provide comprehensive administrative access, including terminal SSH, hosted URLs, and optional GUI tools. Users can configure scheduling, backups, and network settings to build custom workflows or always-on services. This level of control allows for the creation of background jobs and complex agent architectures tailored to specific business requirements.

5Metered Billing and Costs

The platform utilizes a prepaid, per-minute billing model rather than flat-rate subscriptions. Compute rates are approximately 0.80 dollars per vCPU-hour and 0.70 dollars per GB of RAM-hour, with storage billed at 0.09 dollars per GB-month. Budget caps per sandbox are available to prevent runaway spending and ensure predictable operational expenses.

6Security and Data Ownership

Security is maintained through strict instance isolation, ensuring that data remains encrypted both in transit and at rest. Agent37 explicitly does not use user prompts, responses, or instance data to train its own proprietary models. Consequently, users retain full ownership of their content and data throughout the entire agent lifecycle.

7Fixed Subscription Tier Options

Beyond metered usage, Agent37 offers fixed subscription tiers specifically for hosting Hermes agents. Plans range from the Basic tier at 3.99 dollars per month to the Max tier at 99.99 dollars per month. These paid plans provide increased vCPU, RAM, and disk resources, alongside enhanced support and team-based access roles.

8Target Use Cases and Value

Agent37 is designed for software teams and startups needing to deploy customer-facing agents without managing server infrastructure. It is particularly effective for agencies requiring per-client isolation or businesses needing event-driven, scheduled workflows. By lowering the barrier to entry, it provides a scalable alternative to self-hosting for production-grade AI agent deployments.

Original article: Dynamic Business — Agent37 Cloud Platform for AI Agents